[ 551OKMEZRAK14 ] KV Time Series Analysis (Statistics)

Es ist eine neuere Version 2023W dieser LV im Curriculum Master's programme Social Economics 2023W vorhanden.
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
4 ECTS B2 - Bachelor's programme 2. year Statistics Helga Wagner 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)keine
Original study plan Bachelor's programme Statistics and Data Science 2019W
Objectives Students are familiar with the basic concepts of time series analysis and are able to analyse time series using the statistical software R
Subject time series plots; components of a time series; regression modelling;
exponential smoothing; basic concepts of stochastic processes; stationarity; autocorrelation;
ARMA and ARIMA models; unit root tests; ARCH and GARCH models
Criteria for evaluation Exam
Methods Lecture
Computer lab
Language German
Study material Cowpertwait, Paul S. P. and Metcalfe, Andrew V. (2009) Introductory time series with R

Vogel, J├╝rgen (2015). Prognose von Zeitreihen

Changing subject? No
Further information (*)Bisher SS2014 bezeichnet als 4MSZRKV: KV Zeitreihenanalyse (4 ECTS)
Earlier variants They also cover the requirements of the curriculum (from - to)
4MSZRKV: KV Time Series Analysis (Statistics) (2011S-2014S)
On-site course
Maximum number of participants 40
Assignment procedure Assignment according to priority